(2022). Comparison of risk of serious cardiovascular events after haemorrhagic versus ischaemic stroke: a population-based study. Thromb Haemost. http://doi.org/10.1055/a-1873-9092.
(2022). Ethnic disparities in mortality among overweight or obese adults with newly diagnosed type 2 diabetes: a population-based cohort study. J Endocrinol Invest. http://doi.org/10.1007/s40618-021-01736-9.
(2015). The value of aspartate aminotransferase and alanine aminotransferase in cardiovascular disease risk assessment. Open Heart. http://doi.org/10.1136/openhrt-2015-000272.
(2015). Improving identification of familial hypercholesterolaemia in primary care: derivation and validation of the familial hypercholesterolaemia case ascertainment tool (FAMCAT). Atherosclerosis. http://doi.org/10.1016/j.atherosclerosis.2014.12.034.
(2017). Venous thromboembolism in adults screened for sickle cell trait: a population-based cohort study with nested case-control analysis. BMJ Open. http://doi.org/10.1136/bmjopen-2016-012665.
(2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data?. PLoS One. http://doi.org/10.1371/journal.pone.0174944.
(2018). Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open. http://doi.org/10.1136/bmjopen-2017-020926.
(2018). Does bone mineral density improve the predictive accuracy of fracture risk assessment? A prospective cohort study in Northern Denmark. BMJ Open. http://doi.org/10.1136/bmjopen-2017-018898.
(2019). Sub-optimal cholesterol response to initiation of statins and future risk of cardiovascular disease. Heart. http://doi.org/10.1136/heartjnl-2018-314253.
(2019). The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort. BMC Med. http://doi.org/10.1186/s12916-019-1373-y.